Sublinear Algorithms for Big Data Applications (SpringerBriefs in Computer Science) - Tapa blanda

Libro 184 de 322: SpringerBriefs in Computer Science

Wang, Dan; Han, Zhu

 
9783319204475: Sublinear Algorithms for Big Data Applications (SpringerBriefs in Computer Science)
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ISBN 10: 3319204475 ISBN 13: 9783319204475
Editorial: Springer, 2015

Sinopsis

The brief focuses on applying sublinear algorithms to manage critical big data challenges. The text offers an essential introduction to sublinear algorithms, explaining why they are vital to large scale data systems. It also demonstrates how to apply sublinear algorithms to three familiar big data applications: wireless sensor networks, big data processing in Map Reduce and smart grids. These applications present common experiences, bridging the theoretical advances of sublinear algorithms and the application domain. Sublinear Algorithms for Big Data Applications is suitable for researchers, engineers and graduate students in the computer science, communications and signal processing communities.

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Críticas

“Wang and Han’s book focuses on sublinear algorithms for processing big data. ... For the researcher, this book also shows that there is room for improvement and new discoveries in this flourishing area. ... The book is thus recommended mainly to researchers, but just as a piece of the bigger puzzle of sublinear algorithms for big data processing and applications.” (Corrado Mencar, Computing Reviews, computingreviews.com, August, 2016)

Reseña del editor

The brief focuses on applying sublinear algorithms to manage critical big data challenges. The text offers an essential introduction to sublinear algorithms, explaining why they are vital to large scale data systems. It also demonstrates how to apply sublinear algorithms to three familiar big data applications: wireless sensor networks, big data processing in Map Reduce and smart grids. These applications present common experiences, bridging the theoretical advances of sublinear algorithms and the application domain. Sublinear Algorithms for Big Data Applications is suitable for researchers, engineers and graduate students in the computer science, communications and signal processing communities.

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Editorial
Springer
Año de publicación
2015
Idioma
Inglés
ISBN 10 
3319204475
ISBN 13 
9783319204475
Encuadernación
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Número de edición
1
Número de páginas
100
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Heidelberg
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Alemania

Otras ediciones populares con el mismo título

9783319204499: Sublinear Algorithms for Big Data Applications

Edición Destacada

ISBN 10:  3319204491 ISBN 13:  9783319204499
Editorial: Springer, 2015
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